ryo-ngked/data-science-training-2025
Aug 2025 – Sep 2025
2 Months active
Languages Used
Jupyter NotebookMarkdownPythonJSON
Technical Skills
Algorithmic ThinkingBoolean AlgebraBoolean LogicConditional LogicConditional StatementsData Analysis
KhadijahSuhami
PROFILE
Khadijahsuhami
Contributed to the ryo-ngked/data-science-training-2025 repository by establishing foundational scaffolding and developing hands-on data science learning resources over a two-month period. Built and organized initial project assets, updated documentation to streamline onboarding, and removed deprecated components to maintain code clarity. Developed Jupyter notebooks focused on practical data analysis using Pandas, covering topics such as data types, missing values, grouping, and summary functions. Emphasized reproducibility and maintainability by structuring assets for future scalability. Utilized Python, Jupyter Notebook, and Markdown to deliver features supporting rapid experimentation, while also addressing bug fixes and ensuring a clean, extensible baseline for ongoing development.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
24Total
Bugs
1
Commits
24
Features
5
Lines of code
84
Activity Months2
Your Network
20 peopleWork History
September 2025
3 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for ryo-ngked/data-science-training-2025. Focused on delivering hands-on data science learning resources and establishing the project foundation for scalable future work. Highlights include new Pandas-based practice notebooks and initial scaffolding to enable rapid onboarding and expansion.
3 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for ryo-ngked/data-science-training-2025. Focused on delivering hands-on data science learning resources and establishing the project foundation for scalable future work. Highlights include new Pandas-based practice notebooks and initial scaffolding to enable rapid onboarding and expansion.
September 2025
August 2025
21 Commits • 3 Features
Aug 1, 2025August 2025: Delivered a solid baseline for the data-science-training project by establishing core scaffolding, importing initial assets, and updating documentation, while removing obsolete components. The work reduces onboarding time, improves reproducibility, and sets up a scalable foundation for future experiments and training pipelines.
August 2025
21 Commits • 3 Features
Aug 1, 2025August 2025: Delivered a solid baseline for the data-science-training project by establishing core scaffolding, importing initial assets, and updating documentation, while removing obsolete components. The work reduces onboarding time, improves reproducibility, and sets up a scalable foundation for future experiments and training pipelines.
Activity
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Quality Metrics
Correctness92.4%
Maintainability91.6%
Architecture91.6%
Performance91.6%
AI Usage21.8%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
Algorithmic ThinkingBoolean AlgebraBoolean LogicConditional LogicConditional StatementsData AnalysisData ScienceData Science TrainingData TypesData VisualizationDebuggingDictionary UsageDocumentationFunction DefinitionFunctions
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline